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Method for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecast

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dc.contributor.author Neskorodieva, Tatiana
dc.contributor.author Fedorov, Eugene
dc.date.accessioned 2020-11-06T13:09:48Z
dc.date.available 2020-11-06T13:09:48Z
dc.date.issued 2020
dc.identifier.uri https://r.donnu.edu.ua/handle/123456789/1025
dc.description.abstract The problem of automation of audit data analysis the prerequisite "Compliance of costs and incomes" based on the forecast is considered. A neural network model for forecast based on a gateway recurrent unit is proposed. For parametric identification of this model, adaptive cross entropy is proposed. This allows you to increase the forecast efficiency by reducing computational complexity and improving the forecast accuracy. Software was developed using the Matlab package that implements the proposed method. The developed software is studied when solving the problem of forecasting indicators in the task of analyzing the data mapping “settlements with suppliers - settlements with customers”. en_US
dc.language.iso en en_US
dc.subject automatic analysis en_US
dc.subject audit data en_US
dc.subject "settlements with suppliers - settlements with customers" mapping en_US
dc.subject forecast en_US
dc.subject neural network en_US
dc.subject gateway recurrent unit en_US
dc.title Method for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecast en_US
dc.type Book chapter en_US


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